Genome-wide Association Studies-GWAS
Single Nucleotide Polymorphisms-SNPs
Multiple Allele Traits
Multi-species Conserved Sequences
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
Comparing Copy Number Variations and SNPs
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Hongping Guo1,2, Zuguo Yu1,3, Jiyuan An4
1Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Xiangtan 411105, China.
A new method, MBLASSO, enhances genome-wide association studies (GWAS) by efficiently screening single nucleotide polymorphisms (SNPs). This approach improves statistical power and accuracy in identifying quantitative trait nucleotides (QTNs) for complex traits.
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